@misc{10481/74373,
year = {2022},
month = {2},
url = {http://hdl.handle.net/10481/74373},
abstract = {Most of the available Multi-criteria Group Decision Making methods that deal with a high number of elements usually focus on managing scenarios that have high number of alternatives and/or experts. Nevertheless, there are also cases in which the number of criteria values is difficult for the experts to tackle. In this paper, a novel Group Decision Making method that employs Fuzzy Ontologies in order to deal with a high number of criteria values is presented. Our method allows the criteria values to be combined in order to generate a reduced set of criteria values that the experts can comfortably deal with.},
organization = {Spanish Government	PID2019-103880RB-I00 / AEI / 10.13039/501100011033},
publisher = {Elsevier},
keywords = {Fuzzy ontologies},
keywords = {Multi-criteria group decision making},
keywords = {Linguistic modelling},
keywords = {Clustering},
title = {Managing Group Decision Making criteria values using Fuzzy Ontologies},
doi = {10.1016/j.procs.2022.01.021},
author = {Morente Molinera, Juan Antonio and Cabrerizo, F.J. and Trillo Vílchez, José Ramón and Herrera Viedma, Enrique},
}